Input-Output Finite-Time Sliding-Mode Control for T-S Fuzzy Systems With Application
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Qi, Wenhai | - |
dc.contributor.author | Yang, Xu | - |
dc.contributor.author | Ahn, Choon Ki | - |
dc.contributor.author | Cao, Jinde | - |
dc.contributor.author | Cheng, Jun | - |
dc.date.accessioned | 2022-02-24T16:40:47Z | - |
dc.date.available | 2022-02-24T16:40:47Z | - |
dc.date.created | 2022-02-07 | - |
dc.date.issued | 2021-09 | - |
dc.identifier.issn | 2168-2216 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/136761 | - |
dc.description.abstract | This article addresses the issue of input-output finite-time stability (IO-FTS) for nonlinear systems by employing sliding-mode control (SMC) methodology. Many practical systems subject to complex factors, such as the single-link robot arm model (SLRAM), can be characterized as nonlinear systems. Our attention is focused on designing a fuzzy-model-based finite-time SMC law to attenuate the influences of uncertainty, nonlinear term, and external disturbance during the finite-time region. First, a novel integral sliding-mode surface is proposed based on the Takagi-Sugeno fuzzy rule. Then, by using the key point of Lyapunov function theory, an appropriate fuzzy SMC law is designed to make sure that the signal variables can arrive at a domain within the assigned fixed-time level. Moreover, some new IO-FTS criteria are constructed for the resulting sliding dynamics over the whole finite-time level, including reaching phase and sliding motion phase. Via the SLRAM, we demonstrate the effectiveness of the proposed SMC approach. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | MARKOVIAN JUMP SYSTEMS | - |
dc.subject | ROBUST STABILIZATION | - |
dc.subject | STOCHASTIC-SYSTEMS | - |
dc.subject | NONLINEAR-SYSTEMS | - |
dc.title | Input-Output Finite-Time Sliding-Mode Control for T-S Fuzzy Systems With Application | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ahn, Choon Ki | - |
dc.identifier.doi | 10.1109/TSMC.2019.2954854 | - |
dc.identifier.scopusid | 2-s2.0-85078407712 | - |
dc.identifier.wosid | 000685890800024 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, v.51, no.9, pp.5446 - 5455 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | - |
dc.citation.title | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | - |
dc.citation.volume | 51 | - |
dc.citation.number | 9 | - |
dc.citation.startPage | 5446 | - |
dc.citation.endPage | 5455 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Cybernetics | - |
dc.subject.keywordPlus | MARKOVIAN JUMP SYSTEMS | - |
dc.subject.keywordPlus | NONLINEAR-SYSTEMS | - |
dc.subject.keywordPlus | ROBUST STABILIZATION | - |
dc.subject.keywordPlus | STOCHASTIC-SYSTEMS | - |
dc.subject.keywordAuthor | Computational modeling | - |
dc.subject.keywordAuthor | Fuzzy systems | - |
dc.subject.keywordAuthor | Input-output finite-time stability (IO-FTS) | - |
dc.subject.keywordAuthor | Lyapunov function | - |
dc.subject.keywordAuthor | Lyapunov methods | - |
dc.subject.keywordAuthor | Nonlinear systems | - |
dc.subject.keywordAuthor | Robots | - |
dc.subject.keywordAuthor | Stability analysis | - |
dc.subject.keywordAuthor | Uncertainty | - |
dc.subject.keywordAuthor | single-link robot arm model (SLRAM) | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.